WISP SOLUTIONS

WISP Solutions aims to address the critical issue of traffic congestion and inefficiency in urban mobility within the city of Košice. This initiative will introduce an AI-driven traffic light management system designed to enhance urban mobility by leveraging real-time data and existing infrastructure. The project’s primary goal is to reduce traffic congestion, prioritise public and emergency vehicles, and decrease CO2 emissions, all without the need for additional sensors.
The project involves a dedicated team from WISP Solutions, including Pierre Philbert, Operational Supervisor; Didier Lerer, Communication Supervisor; Timothée Colas des Francs, Technical Supervisor; Aghiles Djebara, Data Engineer; Eleonora Khachaturova, Data Scientist; and Khaoula Smak, Communication Executive. The inspiration for the project stemmed from the pressing need to improve urban traffic management and environmental sustainability in Košice, aligning with the city’s smart urban development goals.
The project will take place from August 2024 to January 2025, with a rigorous three-month in-situ demonstration from September to December 2024. The implementation will tailor specifically for Košice, utilising AI to dynamically adjust traffic signals at 20 key intersections based on real-time Floating Car Data (FCD) and existing sensors. This approach promises significant improvements in traffic flow, with an anticipated reduction in congestion by 30%, lower average travel times, enhanced emergency response times and a decrease in CO2 emissions by 15%.
WISP’s scalable, cost-effective solution for urban traffic management offers a replicable model for other cities facing similar challenges. The successful execution in Košice aims to demonstrate the potential of technology-driven solutions to foster smarter, more sustainable urban environments globally.